Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

In Industry 4.0, the factories become increasingly smart and efficient through intelligent cyber-
physical systems based on the deployment of Internet of Things (IoT), mobile devices, and …

The 0-1 knapsack problem is a classic combinational optimization problem. However, many
exiting algorithms have low precision and easily fall into local optimal solutions to solve the …

Proper placement of sensors plays a key role in construction and implementation of an
effective structural health monitoring (SHM) system. This paper outlines a novel …

Load event matching is the key for event-based non-intrusive load monitoring (NILM). It aims
to find the load event sequence corresponding to the appliance's operation cycle from all …

Sensor placement is an integral component in the design of an effective and reliable
structural health monitoring system for large‐scale civil engineering structures. In this paper …

This paper addresses a sub-population based hybrid monkey search algorithm to solve the
flow shop scheduling problem which has been proved to be non-deterministic polynomial …

This paper validates the vehicle type-dependent car-following heterogeneity from micro-and
macro-aspects by using Next Generation Simulation (NGSIM) trajectory data. Regarding the …

This study proposes a two-stage surrogate-assisted meta-heuristic algorithm named SDAMA-
SPS to solve computationally expensive problems with high dimensions. In this algorithm, a …